pandas.Index.is_object

Index.is_object()[source]

Check if the Index is of the object dtype.

Returns
bool

Whether or not the Index is of the object dtype.

See also

is_boolean

Check if the Index only consists of booleans.

is_integer

Check if the Index only consists of integers.

is_floating

Check if the Index is a floating type.

is_numeric

Check if the Index only consists of numeric data.

is_categorical

Check if the Index holds categorical data.

is_interval

Check if the Index holds Interval objects.

is_mixed

Check if the Index holds data with mixed data types.

Examples

>>> idx = pd.Index(["Apple", "Mango", "Watermelon"])
>>> idx.is_object()
True
>>> idx = pd.Index(["Apple", "Mango", 2.0])
>>> idx.is_object()
True
>>> idx = pd.Index(["Watermelon", "Orange", "Apple",
...                 "Watermelon"]).astype("category")
>>> idx.is_object()
False
>>> idx = pd.Index([1.0, 2.0, 3.0, 4.0])
>>> idx.is_object()
False

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https://pandas.pydata.org/pandas-docs/version/1.3.4/reference/api/pandas.Index.is_object.html